Design of Efficient Concurrent Dual-Frequency Doherty Power Amplifier Based on Step Impedance Low-Pass Filter
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Published:2023-09-29
Issue:19
Volume:12
Page:4092
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ISSN:2079-9292
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Container-title:Electronics
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language:en
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Short-container-title:Electronics
Author:
Li Guojin1, Xu Wenyuan1, Nan Jingchang1, Gao Mingming1
Affiliation:
1. School of Electronic and Information Engineering, Liaoning Technical University, Huludao 125100, China
Abstract
In view of the peak-to-average power ratio (PAPR) of wireless communication base stations, a Doherty power amplifier with high efficiency maintained at output power back-off (OBO) can effectively solve the problem of low efficiency of the traditional power amplifier at the point of power back-off. In this paper, we propose a method to implement a dual-frequency Doherty power amplifier (DPA) using a step-impedance low-pass filter to improve the bandwidth and efficiency of the DPA at output power back-off (OBO). Step impedance low-pass filters are used to solve the bandwidth limitations in traditional impedance converters and improve the efficiency of Doherty power amplifiers to a certain extent. In order to verify the proposed scheme, an efficient concurrent dual-band Doherty power amplifier operating at 2.0/3.5 GHz is designed and fabricated for the first range 1 (FR1) of 5G applications. In the measured results, the concurrent dual-band DPA achieves a saturated output power of 44 dBm and drain efficiency of 62% with a 6 dB back-off efficiency of 53% at 2.0 GHz and a saturated output power of 43.5 dBm and drain efficiency of 68% with a 6 dB back-off efficiency of 58% at 3.5 GHz.
Funder
Future-oriented Research on Wireless Reconfigurable Intelligent RADIO Module and Neural Network Modeling National Foundation: Power Amplifier Design Modeling and predistortion research for cognitive Radio Systems under compressed sensing Framework Applied Basic Research Project of Liaoning Province
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
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